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2006

Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks

8 years 8 months ago
Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise estimation of each node position is inevitably important when the absolute positions of a relatively small portion as anchor nodes of the underlying network were predetermined. Intrinsically, localization is an unconstrained optimization problem based on various distance/path measures. Most of the existing localization methods focus on using different heuristic-based or mathematical techniques to increase the precision in position estimation. However, there were recent studies showing that nature-inspired algorithms like the ant-based or genetic algorithms can effectively solve many complex optimization problems. In this paper, we propose to adapt an evolutionary approach, namely a micro-genetic algorithm, as a post-optimizer into some existing localization methods such as the Ad-hoc Positioning System (APS)...
Vincent Tam, King-Yip Cheng, King-Shan Lui
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where JCM
Authors Vincent Tam, King-Yip Cheng, King-Shan Lui
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